適用於公開取用強制性政策的文章 - Michael Hilton瞭解詳情
在某個資料庫公開的文章：31
Usage, costs, and benefits of continuous integration in open-source projects
M Hilton, T Tunnell, K Huang, D Marinov, D Dig
Proceedings of the 31st IEEE/ACM international conference on automated …, 2016
授權規定： US National Science Foundation
Trade-offs in continuous integration: assurance, security, and flexibility
M Hilton, N Nelson, T Tunnell, D Marinov, D Dig
Proceedings of the 2017 11th Joint Meeting on Foundations of Software …, 2017
授權規定： US National Science Foundation
DeFlaker automatically detecting flaky tests
J Bell, O Legunsen, M Hilton, L Eloussi, T Yung, D Marinov
Proceedings of the 40th international conference on software engineering …, 2018
授權規定： US National Science Foundation
API code recommendation using statistical learning from fine-grained changes
AT Nguyen, M Hilton, M Codoban, HA Nguyen, L Mast, E Rademacher, ...
Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016
授權規定： US National Science Foundation
A survey of flaky tests
O Parry, GM Kapfhammer, M Hilton, P McMinn
ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (1), 1-74, 2021
授權規定： UK Engineering and Physical Sciences Research Council
A study on challenges of testing robotic systems
A Afzal, C Le Goues, M Hilton, CS Timperley
2020 IEEE 13th International Conference on Software Testing, Validation and …, 2020
授權規定： US National Science Foundation, US Department of Defense
Flakeflagger: Predicting flakiness without rerunning tests
A Alshammari, C Morris, M Hilton, J Bell
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
授權規定： US National Science Foundation
Hazelnut: a bidirectionally typed structure editor calculus
C Omar, I Voysey, M Hilton, J Aldrich, MA Hammer
ACM SIGPLAN Notices 52 (1), 86-99, 2017
授權規定： US National Science Foundation, US Department of Defense
Graph-based mining of in-the-wild, fine-grained, semantic code change patterns
HA Nguyen, TN Nguyen, D Dig, S Nguyen, H Tran, M Hilton
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
授權規定： US National Science Foundation
A large-scale study of test coverage evolution
M Hilton, J Bell, D Marinov
Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018
授權規定： US National Science Foundation
A conceptual replication of continuous integration pain points in the context of Travis CI
DG Widder, M Hilton, C Kästner, B Vasilescu
Proceedings of the 2019 27th acm joint meeting on european software …, 2019
授權規定： US National Science Foundation
Empirical study of restarted and flaky builds on Travis CI
T Durieux, C Le Goues, M Hilton, R Abreu
Proceedings of the 17th International Conference on Mining Software …, 2020
授權規定： US National Science Foundation, Fundação para a Ciência e a Tecnologia, Portugal
It takes a village to build a robot: An empirical study of the ROS ecosystem
S Kolak, A Afzal, C Le Goues, M Hilton, CS Timperley
2020 IEEE International Conference on Software Maintenance and Evolution …, 2020
授權規定： US National Science Foundation, US Department of Defense
Surveying the developer experience of flaky tests
O Parry, GM Kapfhammer, M Hilton, P McMinn
Proceedings of the 44th International Conference on Software Engineering …, 2022
授權規定： UK Engineering and Physical Sciences Research Council
Designing for learning during collaborative projects online: tools and takeaways
S Sankaranarayanan, SR Kandimalla, M Cao, I Maronna, H An, C Bogart, ...
Information and Learning Sciences 121 (7/8), 569-577, 2020
授權規定： US National Science Foundation
I'm leaving you, Travis: a continuous integration breakup story
DG Widder, M Hilton, C Kästner, B Vasilescu
Proceedings of the 15th International Conference on Mining Software …, 2018
授權規定： US National Science Foundation, US Department of Defense
A retrospective study of one decade of artifact evaluations
S Winter, CS Timperley, B Hermann, J Cito, J Bell, M Hilton, D Beyer
Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022
授權規定： US National Science Foundation
Empirically evaluating flaky test detection techniques combining test case rerunning and machine learning models
O Parry, GM Kapfhammer, M Hilton, P McMinn
Empirical Software Engineering 28 (3), 72, 2023
授權規定： UK Engineering and Physical Sciences Research Council
Collaborative programming for work-relevant learning: Comparing programming practice with example-based reflection for student learning and transfer task performance
S Sankaranarayanan, SR Kandimalla, CA Bogart, RC Murray, M Hilton, ...
IEEE Transactions on Learning Technologies 15 (5), 594-604, 2022
授權規定： US National Science Foundation
Continuous integration (CI) needs and wishes for developers of proprietary code
M Hilton, N Nelson, D Dig, T Tunnell, D Marinov
授權規定： US National Science Foundation
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